Abstract: According to the present embodiment, a discrimination apparatus includes a processor. The processor extracts a plurality of instructions from binary data. The processor generates a plurality of input data strings by padding with a fixed character on data strings of the instructions so that the data strings of the instructions each have a fixed length. The processor generates a feature vector of a program including the instructions or a classification result related to the program by using the input data strings and a trained convolutional neural network including a convolution layer that performs processing in units of the instructions.